Seismic Time-Frequency Analysis via Empirical Wavelet Transform
Seismic Time-Frequency Analysis via Empirical Wavelet Transform
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DOI：
10.1109/lgrs.2015.2493198
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发表时间：
2016-01-01
影响因子：
4.8
通讯作者：
Chen, Yangkang
中科院分区：
文献类型：
--
作者：
Liu, Wei;Cao, Siyuan;Chen, Yangkang
时频分析能够揭示隐藏在地震数据中的有用信息。高分辨率的时频表示对于地质构造的刻画具有重要意义。在这封信中，我们提出了一种新的地震时频分析方法，使用新发展的经验小波变换（EWT）。这是首次将EWT应用于地震勘探多道地震资料的分析。EWT是一种完全自适应的信号分析方法，它类似于经验模式分解，但具有统一的数学背景。EWT首先估计地震信号中存在的频率分量，然后计算边界，并基于计算的边界提取振荡分量。合成、二维和三维真实的地震资料的应用结果表明了本文方法的有效性。结果表明，EWT可以提供比传统连续小波变换更高的分辨率，并提供了精确突出地质和地层信息的潜力。
Time-frequency analysis is able to reveal the useful information hidden in the seismic data. The high resolution of the time-frequency representation is of great importance to depict geological structures. In this letter, we propose a novel seismic time-frequency analysis approach using the newly developed empirical wavelet transform (EWT). It is the first time that EWT is applied in analyzing multichannel seismic data for the purpose of seismic exploration. EWT is a fully adaptive signal-analysis approach, which is similar to the empirical mode decomposition but has a consolidated mathematical background. EWT first estimates the frequency components presented in the seismic signal, then computes the boundaries, and extracts oscillatory components based on the boundaries computed. Synthetic, 2-D, and 3-D real seismic data are used to comprehensively demonstrate the effectiveness of the proposed seismic time-frequency analysis approach. Results show that the EWT can provide a much higher resolution than the traditional continuous wavelet transform and offers the potential in precisely highlighting geological and stratigraphic information.